Top 4 Ethical Questions When It Comes to Integrating and Using Big Data
According to industry experts, there are 10 top sources of Big Data: Social network profiles, Social influencers, Activity-generated data, Software as a Service (SaaS) and cloud applications, Public Data, Hadoop MapReduce application results, Data warehouse appliances, Columnar/NoSQL data sources, Network and in-stream monitoring technologies, and Legacy documents.
In a recent Information Management article Anne Buff an evangelist in the SAS Best Practices organization takes a thoughtful walk through data’s ethical minefield and presents 4 issues companies are facing along with an additional 4 tactics to help them avoid triggering an explosion.
The quick crib notes for the top 4 Challenges:
- Morals influence values.
- Values influence behavior
- Ethics are the reflection of the decisions and actions we make based on our values
- Data is ethically neutral
For an deeper look at the details as well as the 4 tactics offered by Ms. Buff click through here.
Doug Atkinson
An entrepreneur and executive with a passion for enterprise technology, Doug founded Solutions Review in 2012. He has previously served as a newspaper boy, a McDonald's grill cook, a bartender, a political consultant, a web developer, the VP of Sales for e-Dialog - a digital marketing agency - and as Special Assistant to Governor William Weld of Massachusetts.
- What’s Changed: 2015 Gartner Magic Quadrant for Business Intelligence and Analytics Platforms - October 13, 2015
- Hitachi Data Systems Announces Intent to Acquire Pentaho - February 11, 2015
- Public Service Announcement: Best Practice Guide for Big Data in the Public Sector - January 28, 2015
